
Liberty Street Economics
Research and commentary blog of the Federal Reserve Bank of New York; published the April 2026 SCE AI workplace findings that replaced the BLS GenAI report.
Liberty Street Economics, the Federal Reserve Bank of New York's research blog, filled a federal data gap on 14 April 2026 when it published Survey of Consumer Expectations findings the same day the Bureau of Labor Statistics skipped its own AI workplace report.
Last refreshed: 22 September 2026 · Appears in 1 active topic
How did a New York Fed blog become the primary federal measure of AI's impact on jobs?
Timeline for Liberty Street Economics
Mentioned in: Canada finds the hiring door narrowing
AI: Jobs, Power & MoneyMentioned in: Two federal studies split on AI jobs
AI: Jobs, Power & MoneyMentioned in: BLS April report: tech absent, GenAI paper still missing
AI: Jobs, Power & MoneyMentioned in: BLS skips; NY Fed fills the vacuum
AI: Jobs, Power & MoneyBackground
Liberty Street Economics is the Federal Reserve Bank of New York's public research blog, written by the Bank's own staff economists rather than outside academics. It is not peer-reviewed, but its institutional backing means findings travel fast into financial and policy reporting. When the Bureau of Labor Statistics skipped a scheduled GenAI workplace report on 14 April 2026, Liberty Street's Survey of Consumer Expectations data became the closest thing to an official federal reading of AI's effect on jobs.
Liberty Street has continued to publish Labour market research relevant to the same debate. A separate New York Fed job-postings study, run through the same research apparatus, found little sign that AI adoption had cut hiring since ChatGPT's 2022 launch, a conclusion that sits in direct tension with academic estimates of AI-driven job losses.
Liberty Street's position matters because the Bureau of Labor Statistics has not published a competing establishment-side survey. As long as that gap persists, a Federal Reserve Bank research blog, not a full federal statistical agency, supplies the headline figures cited by lawmakers debating AI workforce policy.